Automation Through Orchestration: DataSphere Now Available

Primary Data today announced the launch of DataSphere, the
industry’s first enterprise data orchestration software platform. Let’s take a
closer look at what data orchestration is, and what it means to enterprise
datacenters.

The Storage Silo Problem

Storage diversity across flash, cloud, hyper-converged, and
traditional systems give enterprises the right storage tool for any job. The
problem is that, until now, data is hard to move across storage systems. As a result,
IT is forced to choose which storage system makes the most sense for data over
the majority of its lifecycle, as data likely won’t get moved until it is time
for the next hardware refresh.

This means that IT typically overprovisions both storage
performance and capacity to avoid the business disruption that migrations and
upgrades entail. In addition, it is common for business units to reserve much
more storage than applications actually need so they don’t have to go through
the hassle of securing additional budget down the road and the complicated task
of adding storage to an existing storage system.

This excessive over purchasing of storage greatly reduces
the effectiveness of enterprise storage investments. Ironically, even though,
huge amounts of storage resources sit idle in the datacenter, the inability to
move data quickly as business needs evolve is making capacity
growth one of the leading concerns for most enterprise IT departments.

Freeing Data Through Data Virtualization

DataSphere unites heterogeneous storage resources across
file, block and object protocols by separating the data path from the control
path through data virtualization. The uniquely storage-agnostic DataSphere
architecture gives customers the flexibility to easily add new storage resources
to their infrastructure. By connecting storage resources across a global
dataspace, DataSphere enables data to move across storage resources without
impacting application access. This enables organizations to significantly
increase utilization of existing storage to reduce overprovisioning and save
budget.

Automating IT Data Management and Storage Services though Data Orchestration

Enabling data to move across heterogeneous storage is an
important step, but even with this capability, IT does not have time to
manually move data throughout the day, week or month. DataSphere automates
datacenter agility, giving admins the ability to assign policies, down to
file-level granularity, that automatically adapt data placement across storage
resources.

DataSphere automatically aligns application I/O with
available storage resources to meet the application owner’s business needs. In
addition, Smart Objectives, a unique feature of DataSphere, can be applied to
shares that contain files that match patterns for file types (for example,
.dat, .tmp, .sql, and .log). Smart Objectives can also match data that has been
accessed within a certain time period (say, within the last hour), or that has
not been accessed in a certain time period (say, 30 days).

As storage resources are added, business needs evolve, and
policies change, data is load balanced across all available resources in real-time
to ensure business requirements are continually met, minimizing
overprovisioning and the cost of maintaining individual storage silos for each
application.

The Benefits of Data Orchestration

The DataSphere
platform delivers numerous benefits to enterprises, including the ability to:

·Simplify management by converging data using automated orchestration across all
storage

·Reduce costs of overprovisioning up to 50% by increasing storage utilization

·Respond instantly to new and changing application needs

·Increase application uptime during migrations and upgrades

·Gain agility and storagechoice by enabling
scale out storage with any vendor

To learn more about how data orchestration can improve your
application service levels, while reducing datacenter costs:

·VMworld 2016 U.S. attendees can see DataSphere in
action at booth 2123 from
August 28 – September 1, 2016.